HR & RECRUITING

PTO Request Pre-Approval Conflict Check

When an employee submits a leave request via a form webhook, checks it against the team's existing Outlook leave and posts an approve/deny recommendation to the manager…

CategoryHR & Recruiting
EngineSim + Paperclip
Difficultyintermediate
Triggerwebhook
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerLeave request submitted via form webhookHTTP webhook
  • ActionQuery approved Outlook leave for requested windowOutlook
  • LogicOverlap below coverage minimum?
  • ActionGenerate approve/hold recommendationOpenAI
  • OutputSend decision card to manager in SlackSlack

What it does

Intercepts a leave request the moment it is submitted, compares the requested dates against everyone else's approved Outlook leave on the same team, and gives the manager a one-tap decision: a clear recommendation to approve or hold, backed by exactly who else would be out on those days.

When to use it

Use this when leave is approved by a human but you want the conflict math done for them. It moves the overlap check to the request stage, so managers approve with full context instead of discovering a double-booking after the fact.

How it works

  1. 1A leave-request form posts to the webhook trigger with employee, dates, and team.
  2. 2The flow queries the team's approved Outlook calendar for the requested window.
  3. 3A branch evaluates overlap depth against the team's coverage minimum.
  4. 4An agent writes a recommendation — approve, or hold with reason and the conflicting names.
  5. 5The recommendation is sent to the manager as an interactive Slack message with Approve / Hold buttons.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect OutlookMail, calendar, contacts.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  4. 4
    Connect OpenAIModels, embeddings, files.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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